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Ford Motor Company · 17 hours ago

Advanced HEV Simulation and Performance Research Engineer

Dearborn, MI

Full-time

Onsite

Mid Level

3+ years exp

Ford Motor Company is a leading automotive manufacturer committed to building a better world. They are seeking an Advanced HEV Simulation and Performance Research Engineer to develop, analyze, and optimize vehicle attributes across electrified propulsion architectures using high-fidelity simulation models.

AutomotiveAutonomous VehiclesManufacturingTransportation

No H1B

Responsibilities

Conduct detailed vehicle-level attribute analysis (fuel economy, performance, emissions, thermal management, passenger comfort) using high-fidelity simulation models across diverse xEV architectures to drive development and optimization of Ford’s current and future xEV offerings

Utilize models employing 1D and 3D methods to ensure comprehensive engine-out and tailpipe emissions analysis and assessment of compliance

Perform functional validation and correlation of high-fidelity vehicle and propulsion system models against physical test data, ensuring accuracy and reliability across steady-state and transient operating conditions

Lead and execute large-scale attribute optimization studies leveraging HPC/cloud environments to balance system performance objectives over regulatory cycles and representative real-world customer driving profiles

Develop intuitive dashboards and reports to effectively visualize and communicate complex simulation results and real-world data insights to engineering teams and stakeholders

Collaborate extensively with propulsion systems controls and calibration engineering teams, as well as other cross-functional teams (thermal, climate, etc.) to influence design decisions by providing simulation-based analysis and insights

Qualification

HEV architecture analysisElectrified propulsion systemsMATLAB / SimulinkSimulation toolsVersion control systemsResilienceCommunication skillsOrganizational skillsInitiative

Required

Bachelor's degree in mechanical engineering, Automotive Engineering, or Electrical Engineering

3+ years of experience with analyzing various hybrid electric vehicle (HEV) architectures, including but not limited to full, plug-in, series, parallel, powersplit, and range extender systems

3+ years of experience with analyzing electrified propulsion systems hardware and controls, including combustion engines, electric machines, batteries, thermal systems, driveline, and chassis systems

3+ years of experience with operation, modeling and control of internal combustion engines and aftertreatment systems for ensuring regulatory compliance

3+ years of experience with MATLAB / Simulink / Stateflow

3+ years of experience with other relevant simulation tools (e.g., GT-SUITE, AVL CRUISE M, AMESim, etc.)

1+ years of experience with version control systems (e.g., GitHub, GitLab, SVN) and automation concepts

Excellent written and verbal communication skills

Excellent organizational skills, including strong attention to detail and the ability to manage multiple tasks simultaneously

Demonstrated initiative, resilience, a strong work ethic, and a desire for continuous learning

Preferred

Master's or PhD in Mechanical Engineering, Automotive Engineering, or Electrical Engineering

Direct experience with model development of specific complex xEV architectures (e.g., powersplit, series, parallel, and advanced multi-mode hybrids)

Thorough understanding of current and upcoming EPA emissions regulations for light-duty /heavy-duty vehicles and technology pathways for meeting compliance requirements

Working knowledge of thermal and hydraulic systems as applied to hybrid electric architectures as well as automotive climate systems and passenger comfort

Experience with optimization techniques and tools applied to engineering problems

Experience working with large datasets, particularly automotive telematics or connected vehicle data and with developing data visualization dashboards

Familiarity or experience with high-performance computing (HPC) or cloud environments for simulations/optimizations

Experience contributing to technology roadmaps or advanced engineering projects